Finally, this database has been used to further design and develop the speech emotion recognition system for Punjabi language.
📌 3 Key Takeaways
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Objective & Hypothesis:This paper introduces Punjabi Emotional Speech Database that has been created to evaluate the recognition of emotions in speech, by the humans and the computer system.
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Key Findings & Data:Six emotions are simulated for the collection of speech corpus, including happy, sad, fear, anger, neutral and surprise. 15 speakers, with age group 20-45 years have participated in the recordings for this database.
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Conclusion & Impact:Finally, this database has been used to further design and develop the speech emotion recognition system for Punjabi language.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
This paper introduces Punjabi Emotional Speech Database that has been created to evaluate the recognition of emotions in speech, by the humans and the computer system. The database has been designed, recorded and verified using various standards. The results set a standard for identifying emotions from Punjabi speech. Six emotions are simulated for the collection of speech corpus, including happy, sad, fear, anger, neutral and surprise. 15 speakers, with age group 20-45 years have participated in the recordings for this database. Finally, this database has been used to further design and develop the speech emotion recognition system for Punjabi language.
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Cite This Article
Kaur, K., Singh, P. (2022). Punjabi Emotional Speech Database:Design, Recording and Verification. International Journal of Intelligent Systems and Applications in Engineering, Cilt: 9 - Sayı: 4, 205–208. https://ajindex.com/articles/541282
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